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META | E4 | SFO | Oct 2024 [Reject]

Round 1: Phone Screening

Questions:

Candidate's Approach

No approach provided.

Interviewer's Feedback

No feedback provided.


Round 2: Coding Screening Round

Questions:

  1. Separate odd and even integers, place odd integers in the first part of the array, followed by even integers.
    • Clarified requirements and edge cases like length of array, null or empty array.
    • Coded quickly, completed dry run and discussed if solution solves edge cases.
  2. Sum of root to leaf values in binary tree and represent in array.
    • Same approach as above.
Candidate's Approach
  • Clarified requirements and edge cases for the first question.
  • Explained an optimized approach for handling the separation of odd and even integers.
  • Completed dry run for both questions.
Interviewer's Feedback
  • Strong communication.
  • Missed edge case like negative number in the first question and integer overflow.
  • Interviewer expected the candidate to come up with all edge cases independently.

Round 3: Onsite Interview

Questions:

  1. Coding Round 1:
    • Closest element to target in BST (return any closest, not necessarily the smallest node).
    • Given a m*n binary array where value 1 represents blockage, 0 represents empty cell. Find the path from source (0,0) to target (m-1,n-1).
Candidate's Approach
  • Followed the same approach as in the coding screening round.
  • Took a long example for dry run which wasted time.
  • Initially confused about whether it had to be the shortest path, then switched to a DFS approach after clarification.
  • Spent time on coding the iterative DFS solution and focused on code modularity, which led to time management issues.
Interviewer's Feedback

No feedback provided.


Round 4: Coding Round 2

Questions:

  1. K closest points from origin.
    • Discussed approach using minHeap.
    • Questions about time complexity and space complexity if maxHeap was chosen.
  2. Dot product of vectors.
    • Follow-up: What if one vector is sparse? What optimizations would be used?
Candidate's Approach
  • Explained the approach using minHeap and discussed edge cases.
  • Mentioned the need to research maxHeap implementation in O(n) after being informed by the interviewer.
  • Discussed various solutions for the dot product, including map and arraylist solutions, and binary search.
Interviewer's Feedback

No feedback provided.


Round 5: System Design

Questions:

Candidate's Approach
  • Started with a general solution but was challenged on the schema design for NoSQL.
  • Spent significant time on schema definition and had to rush through the actual leaderboard design.
Interviewer's Feedback

No feedback provided.


Round 6: Behavioral

Questions:

Candidate's Approach

No approach provided.

Interviewer's Feedback

No feedback provided.


Outcome: Rejected after 2 weeks with no feedback.